Service Quality Factors Influencing the Use of Artificial Intelligent Security Technology in UAE

Salem Ahmed Abdulla Alafreet Alkuwaiti, A. Ahmad, Najmaddin Abo Mosali
{"title":"Service Quality Factors Influencing the Use of Artificial Intelligent Security Technology in UAE","authors":"Salem Ahmed Abdulla Alafreet Alkuwaiti, A. Ahmad, Najmaddin Abo Mosali","doi":"10.30880/ijscet.2023.14.02.008","DOIUrl":null,"url":null,"abstract":"This study assessed various factors related to service quality ininfluencing artificial intelligence security technology. It was carried out through quantitative approach where the data of respondents perceptionsof UAE citizens towards the enhancing service quality in the UAE's AI security sectorwas derived through queationnaire survey. The factors were categorized in four groups which are performance expectancy group with seven factors; effort expectancy group with seven factors; social influencegroup with four factors; and facilitates condition group with five factors. With these factors, the respondents were requested to gauge the degree of influence of each factor using 5-points likert scale. The questionnairesurvey managed to secure 359 completed questionnaire forms. The data from these forms were analysed using descriptive statistic. It was found that facilitates conditiongroup of factor is the most influencing category on service quality to adopt AI technology. It can be concluded that theoverall results indicate that facilitates condition, effort expectancy and performance expectancy groups are reported having very high influencing categories while social influence group having high influencing ategory. It was also found that AI technologies are very frequently used technologies by the UAE citizens. Based on the study, it is deduced that service quality is a basic consideration as reported by the UAE personnel for adoption of any technology.","PeriodicalId":14418,"journal":{"name":"International Journal of Sustainable Construction Engineering and Technology","volume":"118 1","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Sustainable Construction Engineering and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30880/ijscet.2023.14.02.008","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

This study assessed various factors related to service quality ininfluencing artificial intelligence security technology. It was carried out through quantitative approach where the data of respondents perceptionsof UAE citizens towards the enhancing service quality in the UAE's AI security sectorwas derived through queationnaire survey. The factors were categorized in four groups which are performance expectancy group with seven factors; effort expectancy group with seven factors; social influencegroup with four factors; and facilitates condition group with five factors. With these factors, the respondents were requested to gauge the degree of influence of each factor using 5-points likert scale. The questionnairesurvey managed to secure 359 completed questionnaire forms. The data from these forms were analysed using descriptive statistic. It was found that facilitates conditiongroup of factor is the most influencing category on service quality to adopt AI technology. It can be concluded that theoverall results indicate that facilitates condition, effort expectancy and performance expectancy groups are reported having very high influencing categories while social influence group having high influencing ategory. It was also found that AI technologies are very frequently used technologies by the UAE citizens. Based on the study, it is deduced that service quality is a basic consideration as reported by the UAE personnel for adoption of any technology.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
影响阿联酋使用人工智能安全技术的服务质量因素
本研究评估了影响人工智能安全技术的服务质量相关因素。它是通过定量方法进行的,其中受访者对阿联酋公民对提高阿联酋人工智能安全部门服务质量的看法的数据是通过问卷调查得出的。将影响因素分为四组,其中绩效期望组有7个因素;七因素努力期望组;四因素社会影响群体;并以五个因素促进条件组。根据这些因素,要求受访者使用5分李克特量表衡量每个因素的影响程度。问卷调查成功地获得了359份完整的问卷表格。使用描述性统计对这些表格的数据进行分析。研究发现,便利条件组是对采用人工智能技术的服务质量影响最大的类别。总体结果表明,便利条件组、努力期望组和绩效期望组的影响类别非常高,而社会影响组的影响类别非常高。调查还发现,人工智能技术是阿联酋公民经常使用的技术。根据研究,可以推断服务质量是阿联酋人员在采用任何技术时报告的基本考虑因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
0.90
自引率
20.00%
发文量
25
期刊最新文献
Preferensi Warga Kota Bandar Lampung Terhadap Angkutan Umum Kajian Tekno Ekonomi pada Pembangunan Jalur Ganda Rel Kereta Api Segmen Tanjungkarang-Kotabumi di Provinsi Lampung Studi Manajemen Operasi dan Pemeliharaan Jalan Tol Pekanbaru-Dumai Pengaruh Analisis Arus Kas dalam Proyek Konstruksi: Tinjauan Literatur Sistematis Tinjauan Standar Protokol Kesehatan Penyakit Menular Sektor Konstruksi: Studi Kasus COVID-19
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1